Demand Forecasting & Dynamic Pricing
Overstock ties up cash and understock loses sales, and both usually trace back to a forecasting process built on last year's numbers and a gut-feel adjustment. This service builds predictive models that forecast demand at the SKU and location level and, where it makes sense, adjust pricing in real time against demand, competitor moves, and inventory position. It's for retailers and e-commerce operators still forecasting in a spreadsheet or relying on static reorder points that don't react to actual demand signals. The models plug into your existing inventory and pricing systems rather than replacing them, so your team keeps control over final pricing rules and guardrails. The result is less capital tied up in the wrong inventory and pricing that reacts to real demand instead of a quarterly review.
How We’d Approach This
A clear, staged plan — not a black box
- 1
Diagnose current forecast accuracy and pricing rules against actual sell-through and stockout history.
- 2
Pilot the forecasting model on a subset of SKUs or locations, benchmarked against your current forecast.
- 3
Review forecast accuracy and proposed pricing guardrails with merchandising and finance before wider rollout.
- 4
Launch across the full catalog with pricing rules your team approves and can override at any time.
What You Get
Deliverables from this engagement
- SKU- and location-level demand forecasting model
- Dynamic pricing engine with configurable guardrails
- Forecast accuracy report benchmarked against prior method
- Integration into your existing inventory and pricing systems
- Ongoing model retraining as seasonality and demand shift
Six Ways We Could Architect This
Different engagement, different build — pick the shape that fits
There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.
Ready to get started?
Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start — scoped small enough to prove itself before you commit to anything bigger.
Talk to us about Demand Forecasting & Dynamic Pricing